Máx Chacón

48 papers receiving 588 citations

Peers

Máx Chacón
Comparison fields: 5 of 96
  • Neurology 173
  • Gastroenterology 47
  • Geophysics 120
  • Radiology, Nuclear Medicine and Imaging 123
  • Artificial Intelligence 160
Replace David P. Bullivant with:
David P. Bullivant New Zealand
Yufeng Gu China
Luis C. S. Afonso Brazil
Andrzej Skalski Poland
Bas H. M. van der Velden Netherlands
Keewon Shin South Korea
Nandhini Santhanam Germany
Yuan Cheng Fung United States
Javier Oliván Bescós Netherlands
Máx Chacón relative to David P. Bullivant New Zealand David P. Bullivant's profile →
Citations per field
00.5×5×10×15×19.2×
David P. Bullivant · 1×
Citations per year

Countries citing papers authored by Máx Chacón

Since Specialization
Citations

This map shows the geographic impact of Máx Chacón's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Máx Chacón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máx Chacón more than expected).

Fields of papers citing papers by Máx Chacón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Máx Chacón. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Máx Chacón. The network helps show where Máx Chacón may publish in the future.

Co-authors

The 25 scholars most cited alongside Máx Chacón, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Máx Chacón Line = papers co-authored together Máx Chacón links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200883
2 201282
3 200339
4 201438
5 201934
6 202028
7 202025
8 201825
9 202421
10 201619
11 201618
12 200418
13 201017
14 200812
15 201412
16 201812
17 201012
18 202310
19 20148
20 20218

About Máx Chacón

Máx Chacón is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Gastroenterology, having authored 52 papers that have together received 605 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (16 papers), Optical Imaging and Spectroscopy Techniques (13 papers), Acute Ischemic Stroke Management (6 papers), Seismology and Earthquake Studies (5 papers), Hemodynamic Monitoring and Therapy (4 papers), EEG and Brain-Computer Interfaces (4 papers), Cardiovascular Health and Disease Prevention (4 papers) and Gastrointestinal motility and disorders (3 papers). The work is most often cited by research in Neurology (173 citations), Gastroenterology (47 citations), Geophysics (120 citations), Radiology, Nuclear Medicine and Imaging (123 citations) and Artificial Intelligence (160 citations). Máx Chacón has collaborated with scholars based in Chile, United Kingdom and Canada. Frequent co-authors include Ronney Bernardes Panerai, Gonzalo Acuña, Jorge R. Vergara, Hector Valladares, Attila Csendes, Owen Korn, Italo Braghetto, Luís Gutiérrez, Millaray Curilem and Rui Pereira. Their work appears in journals such as Physiological Measurement, Journal of Volcanology and Geothermal Research, PLoS ONE, Lecture notes in computer science and Insight - Non-Destructive Testing and Condition Monitoring.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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